{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "discover vulnerability", "trigger": true, "arguments": ["vulnerability", "vulnerable system version", "time", "supported platform", "vulnerable system"]}, {"event_type": "data breach", "trigger": true, "arguments": ["damage amount", "place", "compromised data", "tool", "attack pattern", "purpose", "number of victim", "victim", "attacker", "number of data"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["releaser", "supported platform", "patch number", "patch", "vulnerable system version", "time", "issues addressed", "vulnerable system", "vulnerability"]}, {"event_type": "phishing", "trigger": true, "arguments": ["tool", "attacker", "place", "time", "damage amount", "trusted entity", "attack pattern"]}], "input": "The Indiana Department of Revenue ( DOR ) and the Internal Revenue Service ( IRS ) are warning folks of fraudulent emails impersonating either revenue agency and encouraging individuals to open files corrupted with malware ."}
{"discover vulnerability": [], "data breach": [], "patch vulnerability": [], "phishing": [{"trigger": "impersonating", "arguments": {"tool": "fraudulent emails", "attacker": "NAN", "place": "NAN", "time": "NAN", "damage amount": "NAN", "trusted entity": ["encouraging individuals", "revenue agency"], "attack pattern": "open files corrupted with malware"}}]}